Equity in AI Education

Equity in AI Education addresses systemic disparities in access to, representation within, and benefits from AI educational tools. Three critical dimensions emerge:

1. Access & Infrastructure Equity

2. Representational Equity

Wang et al. (2025) found that 78% of teachers used LLMs to diversify curriculum materials, yet most AI training data reflects dominant cultural perspectives. Key gaps:

3. Outcome Equity

References

Wang, J., Xiao, R., et al. (2025). LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy. arXiv:2505.08083.

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